Les comparto una invitación que nos hicieron llegar para esta charla (va por zoom).
Info e inscripciones: https://docs.google.com/forms/d/e/1FAIpQLSfW_-JGb0B-OgIXiB4O9tZ_OY4jL4_QyaKyEQiBiimGyLjO9w/viewform
Speaker: Raphael Troncy
Associate Professor of Computer Science
EURECOM, France
Cuándo: 23 de Julio, 2024 a las 10:00 am
Plataforma ZOOM
(el link será enviado vía mail el día antes del evento)
Dudas o consultas: contacto@ict4v.org
Abstract:
In this tutorial, we will first introduce the symbolic and statistical methods that have been researched over the last three decades to capture knowledge. Next, we will describe the key techniques in Generative AI, focusing on Transformers and Large Language Models as well as Diffusion Models. We will present the many multimodal foundation models that have been proposed so far and how to adapt them in practical industrial cases (fine-tuning, prompt engineering, instructions-tuning, etc.). We will detail applications of LLMs, for document understanding, text, image and video generation, or even software code understanding and creation. We will finally discuss ethical considerations, technical challenges, regulatory and societal impact of Generative AI before concluding with an outlook of emerging trends and opportunities.
Bio:
Raphaël Troncy is an Associate Professor at the Data Science Department of EURECOM, France since 2009. His main research interest concerns the use of semantic web technologies for data integration, information extraction from text, tables and multimedia documents, and recommender systems. He has applied his research in diverse sectors such as Creative Industries, Cultural Heritage, Tourism, Automotive, ICT and Energy where the goal has been to produce specialized Knowledge Graphs
and AI-based application for discovering and interacting with the data.
He was General Chair of The Web Conference 2022, Program Chair of the European Semantic Web Conference 2024 and he has published more than 250 papers.